ReviewTranslational lung cancer research2018
The clinical utility of tumor mutational burden in non-small cell lung cancer.
Review in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 5 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
82 citing papers in PubMed, 5 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Evaluating Tumour Mutational Burden as a Key Biomarker in Personalized Cancer Immunotherapy: A Pan-Cancer Systematic Review.Cancers · 2025Pooled it
- Long non-coding RNA LINC-PINT as a novel prognostic biomarker in human cancer: a meta-analysis and machine learning.Scientific reports · 2024Pooled it
- Pooled it
- Efficacy and safety of immune checkpoint inhibitors in patients with advanced non-small cell lung cancer (NSCLC): a systematic literature review.Oncoimmunology · 2020Pooled it
- Rational application of the first-line chemotherapy and immune checkpoint inhibitors in advanced nonsmall cell lung cancer: A meta-analysis.Cancer medicine · 2019Pooled it
- Prognostic biomarker study in patients with clinical stage I esophageal squamous cell carcinoma: JCOG0502-A1.Cancer science · 2022Trial
- Distinct mutation landscape with similar immune microenvironment in primary simultaneous operable squamous cell carcinoma and peripheral-type small-cell lung cancer.Translational lung cancer research · 2026Article
- Pan-cancer analysis of PDZK1IP1 reveals its role in tumorigenesis and tumor immunity: focused validation in thyroid carcinoma.Hereditas · 2026Article
- Systemic inflammation biomarkers can identify high tumor mutation burden in lung adenocarcinoma.BMC cancer · 2025Article
- Discovery of BMS-986408, a First-In-Class Dual DGKα and DGKζ Inhibitor that Unleashes PD-1 Checkpoint and CAR T-cell Immunotherapies.Cancer immunology research · 2025Article
- A Pilot Study: Contrasting Genomic Profiles of Lung Adenocarcinoma Between Patients of European and Latin American Ancestry.International journal of molecular sciences · 2025Article
- Targeting Immune Checkpoint Inhibitors for Non-Small-Cell Lung Cancer: Beyond PD-1/PD-L1 Monoclonal Antibodies.Cancers · 2025Review
- Mapping the genetic-transcriptional landscape of thyroid irAEs in sintilimab therapy: toward biomarker-guided immunotoxicity prediction.Frontiers in immunology · 2025Article
- Lung cancer immunotherapy in 2025: where we stand and what comes next?Frontiers in immunology · 2025Review
- Article
- Pan-cancer analysis of IRF1 focusing on prognostic and immunological roles in non-small cell lung cancer.Heliyon · 2024Article
- Predictive biomarkers for immune checkpoint efficacy: is multi-omics breaking the deadlock?Translational lung cancer research · 2024Article
- Elucidating the pan-oncologic landscape of S100A9: prognostic and therapeutic corollaries from an integrative bioinformatics and Mendelian randomization analysis.Scientific reports · 2024Article
- Efficacy of Pembrolizumab vs. Nivolumab Plus Ipilimumab in Metastatic NSCLC in Relation to PD-L1 and TMB Status.Cancers · 2024Article
- Pan-cancer analysis reveals IL32 is a potential prognostic and immunotherapeutic biomarker in cancer.Scientific reports · 2024Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances made during the last two decades, lung cancer remains the leading cause of cancer-related death worldwide. Recently, immune checkpoint inhibitors (ICIs) became available for the treatment of advanced non-small cell lung cancer (NSCLC) patients. Although ICIs showed a survival advantage in comparison with chemotherapy in the second and first-line setting, overall response rate is only around 20% and a large proportion of patients will undergo disease progression within the first weeks of treatment. For this reason, there is a need for biomarkers to predict the efficacy of ICIs in NSCLC and to identify patients who will benefit from ICIs. The first biomarker developed was programmed cell death ligand 1 (PD-L1) expression. However, the predictive role of PD-L1 expression varied from one clinical trial to another, due to the multiple assays used, with different antibodies, different platforms, and different thresholds. Moreover, PD-L1 expression is highly heterogeneous. For these reasons, PD-L1 expression alone is not a good biomarker to predict the efficacy of ICIs and there is a need for the identification of other biomarkers. Tumor mutational burden (TMB) is defined as the number of mutations per DNA megabases. It was first assessed as a biomarker for ICI based on the observation of successful immune checkpoint inhibition in solid tumors with high TMB such as NSCLC, melanoma or bladder cancer. Pre-clinical data suggested that the association between TMB and ICIs efficacy could be explained by the creation of neoantigens induced by mutations acquisition, increasing tumor immunogenicity and response to ICIs. Preliminary observations of TMB role as a predictive biomarker for the efficacy of ICIs in patients with advanced NSCLC led to the assessment of TMB clinical utility in phase III clinical trials. This review reports the clinical features and prognostic role of TMB in NSCLC. This review also focuses on TMB predictive role for the treatment of NSCLC patients with single-agent programmed cell death 1 (PD-1) and PD-L1 inhibitors such as pembrolizumab, nivolumab and atezolizumab or ICIs combination.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.